Simon Tindemans
Cited by
Cited by
Decentralized Control of Thermostatic Loads for Flexible Demand Response
SH Tindemans, V Trovato, G Strbac
IEEE Transactions on Control Systems Technology, 2015
WCSAC: Worst-case soft actor critic for safety-constrained reinforcement learning
Q Yang, TD Simão, SH Tindemans, MTJ Spaan
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10639 …, 2021
Implementation of a Massively Parallel Dynamic Security Assessment Platform for Large-Scale Grids
I Konstantelos, G Jamgotchian, SH Tindemans, P Duchesne, S Cole, ...
IEEE Transactions on Smart Grid 8 (3), 1417-1426, 2017
Survival of the aligned: ordering of the plant cortical microtubule array
SH Tindemans, RJ Hawkins, BM Mulder
Physical review letters 104 (5), 058103, 2010
The leaky storage model for optimal multi-service allocation of thermostatic loads
V Trovato, SH Tindemans, G Strbac
IET Generation, Transmission & Distribution, 2015
Model for the orientational ordering of the plant microtubule cortical array
RJ Hawkins, SH Tindemans, BM Mulder
Physical Review E 82 (1), 011911, 2010
Data-Driven Power System Operation: Exploring the Balance Between Cost and Risk
JL Cremer, I Konstantelos, SH Tindemans, G Strbac
IEEE Transactions on Power Systems 34 (1), 791-801, 2019
Taking directions: the role of microtubule-bound nucleation in the self-organization of the plant cortical array
EE Deinum, SH Tindemans, BM Mulder
Physical biology 8 (5), 056002, 2011
Low Carbon London project: Data from the dynamic time-of-use electricity pricing trial, 2013
JR Schofield, R Carmichael, S Tindemans, M Bilton, M Woolf, G Strbac
uK Data Service, SN 7857 (2015), 7857-1, 2015
Residential consumer responsiveness to time-varying pricing
J Schofield, R Carmichael, S Tindemans, M Woolf, M Bilton, G Strbac
The diffusive vesicle supply center model for tip growth in fungal hyphae
SH Tindemans, N Kern, BM Mulder
Journal of theoretical biology 238 (4), 937-948, 2006
How selective severing by katanin promotes order in the plant cortical microtubule array
EE Deinum, SH Tindemans, JJ Lindeboom, BM Mulder
Proceedings of the National Academy of Sciences 114 (27), 6942-6947, 2017
Cortical microtubule arrays are initiated from a nonrandom prepattern driven by atypical microtubule initiation
JJ Lindeboom, A Lioutas, EE Deinum, SH Tindemans, DW Ehrhardt, ...
Plant physiology 161 (3), 1189-1201, 2013
Using Vine Copulas to Generate Representative System States for Machine Learning
I Konstantelos, M Sun, SH Tindemans, S Issad, P Panciatici, G Strbac
IEEE Transactions on Power Systems 34 (1), 225-235, 2019
Bayesian calibration at the urban scale: a case study on a large residential heating demand application in Amsterdam
CK Wang, S Tindemans, C Miller, G Agugiaro, J Stoter
Journal of Building Performance Simulation 13 (3), 347-361, 2020
Robust and automatic data cleansing method for short-term load forecasting of distribution feeders
N Huyghues-Beaufond, S Tindemans, P Falugi, M Sun, G Strbac
Applied Energy 261, 114405, 2020
Detection of false data injection attacks using the autoencoder approach
C Wang, S Tindemans, K Pan, P Palensky
2020 International Conference on Probabilistic Methods Applied to Power …, 2020
Efficient event-driven simulations shed new light on microtubule organisation in the plant cortical array
SH Tindemans, EE Deinum, JJ Lindeboom, B Mulder
Biophysics 2, 19, 2014
Reliability Modeling Considerations for Emerging Cyber-Physical Power Systems
V Aravinthan, T Balachandran, M Ben-Idris, W Fei, M Heidari-Kapourchali, ...
2018 IEEE International Conference on Probabilistic Methods Applied to Power …, 2018
Evaluating composite approaches to modelling high-dimensional stochastic variables in power systems
M Sun, I Konstantelos, S Tindemans, G Strbac
2016 Power Systems Computation Conference (PSCC), 1-8, 2016
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